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Intermediate WorkshopSPSS

CSU StanislausMay 2, 2014

Ed Nelson – CSU Fresno

Social Science Research and Instructional Council (SSRIC)

• Discipline council for the social sciences made up of representatives from each campus in the CSU. List of campus representatives can be found at the SSRIC website by clicking on "The Council" and then on “Contact Information“.

• Promotes use of data analysis in research and teaching.

• Other information can be found by going to the SSRIC website.

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Social Science Data Bases

• The SSRIC helps maintain and promote the use of the social science data bases in the CSU.

• Data bases include:– Inter-university Consortium for Political and Social

Research (ICPSR)– The Field (California) Poll– The Roper Center for Public Opinion Research

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Agenda for the IntermediateSPSS Workshop

• Cross tabulations– Bivariate– Multivariate

• Comparing means– Independent sample t test– Paired-sample t test– One-way analysis of variance

• Regression and correlation– Bivariate– Multivariate

• Graphs/Charts

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Getting More Information about the Screen Captures

• The images in this PowerPoint are screen captures from SPSS and various web sites.

• To see a description of the screen capture, right click on the image and then click on Format Picture. Click on Alt Text and a description of the image will appear.

• To close the Alt Text box click on Close.

Overview of SPSS

• SPSS is a statistical package for beginning, intermediate, and advanced data analysis.

• Other statistical packages include SAS, Stata and R.

• Online statistical packages that don’t require site licenses include SDA.

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Text – SPSS for WindowsVersion 19 A Basic Tutorial

• Authors: Linda Fiddler (Bakersfield), Laura Hecht (Bakersfield), Ed Nelson (Fresno), Elizabeth Nelson (Fresno), Jim Ross (Bakersfield).

• Available from McGraw-Hill Learning Solutions. Call 800-338-3987 to order. Request ISBN 0-07-804018-3.

• Available on the web by going to the SSRIC website and clicking on "Teaching Resources" and then on "Online Textbooks" and then clicking on the SPSS book title. The data set for this tutorial can be downloaded at this site.

• Version 22 will be available soon online. 7

SPSS Files and Extensions

• Portable file -- .por• Data file -- .sav• Output file -- .spo• Syntax file -- .sps

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Opening SPSS

• Go to start and find SPSS for Windows.• Click on SPSS 19.0 or the version you have on

your computer to open.• You’ll need to update your SPSS license every

year (or your school technician will do it for you).

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Opening a SPSS Data File

• File that you created. We talked about this in the last workshop.

• File that you got from someplace else.

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Opening an Existing File You Got Somewhere Else

• Often you will want to open a data set that you got from someplace else such as:– ICPSR– Roper Center– Field

• These files will usually be in the form of a:– SPSS portable file (.por)– SPSS data file (.sav)– Raw data file with a SPSS syntax file (.sps)– Raw data file without a syntax file

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ICPSR

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Searching for Data from ICPSR

• Click on Find and Analyze Data.• Enter “immigration” in the “Find Data box.• Explore the different ways of browsing. • Click on “Go”.

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Searching for Data – Find Data

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Searching Tips

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Sorting by Time Period

• Arrange the data sets so they go from earliest to latest.

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Data Set We’re Using

• We’re going to use ICPSR study number 30205. If you know the study number you can search for it by number. When you do the study 30205 should be near the top of the search results list and will be the study on the next slide.

Study We’re Going to Use

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More Information about Study

• Double click on the study title to get more information about the study.

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More Information about Variables

• Scroll down the study results until you see Variables. Enter “immigration” into the box and click Go.

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Q28

• Double click on Q28 to see the frequency distribution for this variable.

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Downloading a File from ICPSR

• Find the section in the study results that describes the data sets.

• Click on whatever you want to download.

Sign in to ICPSR

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Creating a MyData Account

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Filling Out the New Account Form

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Downloading Box

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Downloading Instructions

• Select “Save File”.• In Firefox file will be saved to your downloads

folder.• File will be saved as a zip file.• Open the zip file.• Keep opening folders until you see

codebook.pdf, questionnaire.pdf and data.sav.

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Opening the .sav File

• You can move the zip file from the downloads folder to wherever you want to keep it on your hard drive.

• Open SPSS and then open the .sav file.

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Mini-codebookUtilities/Variables

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Frequency Distribution for Q28

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Bar chart for Q28

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Crosstabs – Bivariate(see chapter 5 in text)

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Cells Display Box

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Crosstabs Statistics Box

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Percentaged Crosstabs Table for Q28 by REG4

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Chi Square Table

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Lambda and Goodman and Kruskal Tau

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Crosstabs –Another Example

• Now let’s run a table with USR (urban, suburbs, rural) as our independent variable and Q28 as our dependent variable.

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Percentaged Crosstabs Table for Q28 by USR

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Exercises for Crosstabs -- Bivariate

• Now you try some two-variable crosstabs with Q28 as your dependent variable and some other independent variables such as:– Education – EDUCBREAK– Race – Q918– Income – INCOME2– Age – AGEBREAK– Sex – Q921

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Crosstabs -- Multivariate

• Let’s run a three- variable table– Dependent variable – Q28– Independent variable– AGEBREAK– Control variable – Q921 (sex)

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Crosstabs – MultivariateTable for Q28 by Agebreak by Q921 (sex)

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Crosstabs – Chi Square Table

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Crosstabs – Multivariate Table – Interchanging the Control and Independent Variables

• Now let’s interchange the control and independent variables– Dependent variable – Q28– Independent variable – Q921 (sex)– Control variable -- AGEBREAK

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Crosstabs – Multivariate Table for Q28 by Q921 (sex) by Agebreak

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Crosstabs – Rest of the Table

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Crosstabs – Chi Square Table for Q28 by Q921 (sex) by Agebreak

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Ways to Compare Means(see ch. 6 in text)

• Independent-sample t test• Paired-sample t test• One-way analysis of variance• For this part of the workshop, we’re going to switch

to the 2010 General Social Survey (GSS) and use a subset that I created for my classes called GSS10a.sav. You’re welcome to use this subset for your classes.

• There is also a subset for the 2012 GSS called Gss12a.sav.

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Comparing Means

• Click on Analyze/Compare Means and then on Means.

• Move AGEKDBRN into the “Dependent List”.• Move SEX into the “Independent List”• Click on OK.

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Comparing Means – Means Table for Agekdbrn by Sex

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Means Output for Agekdbrn by Sex

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Comparing Means – Other Statistics and Further Breakdowns

• Requesting other statistics – click on “Options” and select the other statistics you would like.

• Further breakdowns – Click on “Next” and select a further breakdown.– Move DEGREE into the “Layer 2” box and click on

“OK” and click on OK. again– After you have done this, move DEGREE into the

“Layer 1” box and SEX into the “Layer 2” box and click on OK.

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Comparing Means – Agekdbrn by Degree by Sex

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Comparing Means -- Statistics

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Comparing Means – Chi Square Table for Agekdbrn by Degree by Sex

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Comparing Means -- Agekdbrn by Sex by Degree

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Exercises for Comparing Means

• Compute the mean age (AGE) of respondents who voted for Bush, Kerry, and someone else (PRES04). Which group had the youngest mean age and which had the oldest mean age?

• Compute the mean number of hours that people with different levels of education (DEGREE) watch television (TVHOURS). Who watches more television – those with less education or those with more education?

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Independent Samplet Test

• Independent samples are samples where the composition of one sample does not influence the composition of the other sample.

• Click on Analyze/Compare Means/Independent Sample T Test.• Select the “Test Variable”. This is the variable that you want

to use to compare the two groups. Let’s use AGEKDBRN as our test variable.

• Click on Define Groups to define the two groups that you want to compare.

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Independent Sample Box for Agekdbrn by Sex

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Defining the Groups

• Now indicate the values that define the two groups.

• Males are coded 1 and females are coded 2.• So enter 1 in the Group 1 box and 2 in the

Group 2 box.• Then click on Continue and then on OK.

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Independent Sample t Test --Define Groups

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Independent Sample t Test – Group Statistics

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Independent Sample t Test – t Values

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Exercises for Independent Sample t Test

• Use the independent sample t test to compare the mean age (AGE) of respondents who believe and do not believe in life after death (POSTLIFE). Which group had the highest mean age? Was the difference statistically significant at the .05 level of significance?

• Compare the mean family income (INCOME06) of men and women (SEX). Who had the higher income? Was it statistically significant at the .05 level of significance?

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Paired Samples t Test

• Paired samples are samples where the composition of one sample determines the composition of the other sample (e.g., sample of husbands and wives married to each other).

• Click on Analyze/Compare Means/Paired Samples T Test.

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Paired Samples t Test -- Continued

• Select your paired variables by clicking on the first variable in the list on the left and then clicking on the arrow. Then click on the second variable and click on the arrow again. They should now be in the “Paired Variables” box on the right. Let’s use MAEDUC and PAEDUC as our paired variables.

• Move these two paired variables to the “Paired Variables” box.

• Click on “OK.”

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Paired Samples t Test Box

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Paired Samples t Test – Group Statistics

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Paired Samples t Test – t test value

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Exercises for Paired Sample t Test

• Use the paired-sample t test to compare mother’s socioeconomic status (MASEI) and father’s socioeconomic status (PASEI). Who has the highest mean socioeconomic status – mothers or fathers? Was the difference statistically significant?

• Compare the mean years of school completed for respondents (EDUC) and their spouses (SPEDUC). Who has the higher years of school completed? Was the difference statistically significant?

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One-Way Analysis of Variance

• Now we want to compare means for more than two groups.

• Click on Analyze/Compare Means/Means.• Select the variable that defines your groups by

clicking on it and moving it to the “Independent List” box. Do this for DEGREE.

• Select the variable that you want to use as your comparison variable and move it to the “Dependent List” box. Let’s use AGEKDBRN as our comparison variable.

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One-Way Analysis of Variance – Means Box

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One-Way Analysis of Variance (continued)

• Click on “Options” to open the “Means: Options” box.

• Click in the “Anova table and eta” box to select it and indicate that you want to do a One-Way ANOVA.

• Click on “Continue” and on “OK.”

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One-Way Analysis of Variance – Means: Options Box

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One-Way Analysis of Variance – Statistics Report

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One-Way Analysis of Variance – ANOVA Table

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Exercises for One-Way ANOVA

• Compare the number of hours watching television (TVHOURS) for people of different levels of education (DEGREE). Who watches more television – those with more education or those with less education? Was the F-value statistically significant?

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Correlation and Regression(see chs. 7 and 8 in text)

• Let’s use HRS1 (number of hours worked last week) as our dependent variable.

• We’ll use AGE, EDUC (years of school completed), INCOME06 (family income) and SEI (socioeconomic index) as our independent variables.

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Bivariate Correlation Box

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Correlation

• Check for multicolinearity which means that two or more of the independent variables are highly intercorrelated.

• The correlation between EDUC and SEI is .529. That’s pretty high but not so high as to be a serious problem.

• If it was higher, then we would probably want to drop one of these two variables.

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Correlation Matrix

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Regression

• Now let’s run a multiple regression.• Click on Analyze/Regression/Linear.

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Linear Regression Box

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Regression Coefficients

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Regression ANOVA Table

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Regression R and R Squared Values

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Regression -- Multicolinearity

• If we’re still worried about multicolinearity, let’s run another regression equation leaving out SEI.

• Dropping SEI will allow us to see if the regression coefficients for age and education change without SEI in the equation.

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Regression Coefficients – Checking on Multicolinearity

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ANOVA Table when SEI is Dropped from the Equation

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R and R Squared when SEI is Dropped from the Equation

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Charts/Graphs(see ch. 9 in text)

• Bar charts• Boxplots

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General Information About Graphs

• There are several ways to produce charts in SPSS.

• We’ll be using chart builder.

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Bar Chart

• We’ll use the GSS10A data set.• Click on Graphs and then on Chart Builder.• Make sure that the Gallery tab is selected and then

click on Bar.• Click on the top left bar chart (i.e., simple bar chart)

and drag it up to the top box.• Click on DEGREE and drag it to the X axis so your

screen looks like the next slide.

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Chart Builder – Bar Chart

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Bar Chart for Degree

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Bar Chart Instructions for Displaying Percents

• Now let’s change the bar chart so it displays percents.

• You’ll see the Elements Properties box on the right. Click on Bar 1.

• Under statistics click on the drop-down arrow and select percentages.

• Now you screen should look like the next slide.

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Bar Chart Properties Box

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Bar Chart Instructions for Adding Title

• Click on Apply.• Now let’s give the chart a title.• Click on the Titles/Footnotes tab and then

check the Title 1 Box.• Enter “Highest Degree Earned” in the Content

box.• Your screen should look like the next slide.

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Chart Builder – Adding Title and Percentages

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Bar Chart For Degreewith Title and Percentages

• Click on Apply and then on OK and your bar chart should appear.

Boxplots

• Click on Graphs and then on Chart Builder.• Make sure the Gallery tab is selected.• Click on boxplot and then click on the top left boxplot

(i.e., simple boxplot) and drag it to the window above.

• Click on HRS1 (i.e., hours worked last week) and drag it to the Y axis.

• Your screen should look like the next slide.

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Boxplots Chart Builder

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Boxplots for hrs1

• Click on OK and your boxplot should appear.

Interpreting the Boxplot

• The top of the box is the third quartile and the bottom of the box is the first quartile.

• The solid horizontal line in the box is the median or second quartile.

• The lines extending up and down from the box are measures of variation.

• The circles are extreme outliers and the numbers next to the circles are the case identification numbers of the outliers..

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Getting Separate Boxplotsfor Males and Females

• Now let’s get two boxplots – one for males and one for females.

• Click on SEX and drag it to the X axis so your screen looks like this.

• Then click on OK to get the boxplots.

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Getting Boxplots for Males and Females

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Boxplots for Males and Females

Where do you go from here?

• Explore the help menu.• Spend some time playing with SPSS.• Try out different ways of analyzing your data.• Consult a person trained in statistics if you

have questions about what statistical procedures to use or how to interpret them.

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How to contact me

• Ed Nelson• CSU Fresno• ednelson@csufresno.edu• 559-978-9391 (cell)

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